Evidence map›Paper›PMID 30836713›Full record

ArticleInternational journal of environmental research and public health2019

Perception of the Effectiveness of Health-related Campaigns among the Adult Population: An Analysis of Determinants.

Mariusz Duplaga

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.9field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Mariusz DuplagaDepartment of Health Promotion, Institute of Public Health, Faculty of Health Sciences, Jagiellonian University Medical College; 31-008 Kraków; Poland. mariusz.duplaga@uj.edu.pl.
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial campaigns focusing on health are commonly used within an attempt to change behavior. To date, there has not been a targeted analysis of societies' general perception about social campaigns. The aim of this study is to assess citizens' opinions on the effectiveness of health-related social campaigns.

methodsThe data set used in the analysis was obtained from Poland's nationwide "Social Diagnosis" study. The determinants of public opinion were assessed using a multivariate logistic regression. The independent variables included socio-demographic characteristics, lifestyle, social participation, and the use of digital media.

resultsThe logistic regression model was developed using 23,593 cases. Opinions about the effectiveness of campaigns depended on all the predictors included in the socio-demographic cluster, smoking, self-declared excessive alcohol consumption, physical activity, the use of mobile phones, and watching TV. A significant impact was found in all but one variable related to social participation.

conclusionsThe analysis revealed that opinions about social campaigns present in the media "landscape" are influenced by many factors. Interestingly, persons exhibiting unhealthy behaviors are more resistant to health-related campaigns and surprisingly the need to make use of healthcare resources is not accompanied by an acceptance of the interventions.

Indexed as

Health PromotionPerceptionAdolescentAdultAlcohol DrinkingCommunications MediaExerciseFemaleHumansMaleMiddle AgedPolandSmokingYoung Adulthealth behaviourshealth promotionsocial campaigns

Identifiers

PMID30836713
PMCPMC6427697
OpenAlexW2920716329

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.